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Course Criteria
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3.00 Credits
Multiple variable calculus together with a rigorous review of beginning calculus. Prerequisite: 124 or consent. (Offered each semester) (4 Credits)
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3.00 Credits
An introduction to linear algebra and differential equations: matrix algebra and real vector spaces, bases, dimension and subspaces. First-order and second-order differential equations and methods of their solution with applications. Linear systems of differential equations. Prerequisite: 124. (Offered each semester) (4 Credits)
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3.00 Credits
Statistics is the science of reasoning from data. This course will introduce you to the fundamental concepts and methods of statistics, including calculus-based probability. Topics include experimental design, data collection, and the scopes of conclusion, sampling, the application of probability models to statistical analyses, hypothesis testing, and regression analysis. Prerequisite: Math 124. (Offered every spring) (4 Credits)
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1.00 - 4.00 Credits
A general category used only in the evaluation of transfer credit. (1-4 credits)
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3.00 Credits
Thorough analysis of limits, continuity, differentiation, integration and uniform convergence of infinite series. Prerequisites: 210, 222, 231.(4 credits)
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3.00 Credits
Vector calculus and differential geometry. Prerequisites: 210, 222, 231.(4 credits)
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3.00 Credits
An introduction to complex numbers, analytic functions, derivatives, singularities, integrals, Taylor series, Laurent Series, conformal mappings, residue theory, analytic continuation. Cauchy-Riemann Equations, Cauchy's Theorem, Cauchy Integral Formula, Big and Little Picard Theorems, Riemann Mapping Theorem, Rouche's Theorem. Prerequisite: Math 222.(4 credits)
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3.00 Credits
The basic ideas of sets and functions are used to explore the three basic problems in combinatorics: the counting problem, the existence problem, and the optimization problem. Topics may include: combinatorial proof, the principle of inclusion-exclusion, induction, generating functions, recurrence relations, the Pigeonhole principle, Ramsey theory, basic graph theory, shortest path problems, minimum spanning tree problems, transversal theory, and graph coloring. Prerequisite: Math 210.(4 credits)
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3.00 Credits
The study of abstract vector spaces and introduction to the structure and properties of groups, rings and fields. Prerequisites: Math 210, Math 231.(4 credits)
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3.00 Credits
A continuation of Math 332. A continued study of the structures of groups, rings and fields, with focus on substructures and quotient structures. Prerequisite: Math 332.(4 credits)
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